The PHP Notes for Professionals book is compiled from Stack Overflow Documentation, the content is written by the beautiful people at Stack Overflow.

The Linux Notes for Professionals book is compiled from Stack Overflow Documentation, the content is written by the beautiful people at Stack Overflow.

Introduction to Computer Science provides a comprehensive foundation in core computer science concepts and principles, aligning with the scope and sequence of most introductory computer science courses. The offering serves as an engaging entry point for students pursuing diverse fields of study and employment, including computer science, business, engineering, data science, social scienc

Principles of Data Science is intended to support one- or two-semester courses in data science. It is appropriate for data science majors and minors as well as students concentrating in business, finance, health care, engineering, the sciences, and a number of other fields where data science has become critically important. The authors have included a diverse mix of scenarios, examples,

How can you ensure that your data is in optimal condition to support your specific business initiatives and operations? With this report from AWS, C-suite executives, including CDOs, CAOs, CISOs, and CSOs, will gain insights on how a targeted approach to data governance can enhance data curation, discovery, protection, and sharing capabilities. Our goal is to empower you to curate your d

The Algorithms Notes for Professionals book is compiled from Stack Overflow Documentation, the content is written by the beautiful people at Stack Overflow.

The Bash Notes for Professionals book is compiled from Stack Overflow Documentation, the content is written by the beautiful people at Stack Overflow.

In this open book, the authors aim to study the fundamental concepts in programming languages, rather than teaching a range of specific languages. They posit that while languages are easy to learn, the concepts behind them are difficult. The basic features they examine in turn include higher-order functions, data structures in the form of records and variants, mutable state, exceptions,

This book originated as approximately 30 pages of notes intended for students in the author's introductory programming class at Mount St. Mary's University. Recognizing that most of these students had no prior programming experience, the author tailored his approach accordingly. He consciously omits many technical details and occasionally oversimplifies concepts. While some of these deta

This open access book offers an initial introduction to programming for scientific and computational applications using the Python programming language. The presentation style is compact and example-based, making it suitable for students and researchers with little or no prior experience in programming. The book uses relevant examples from mathematics and the natural sciences to present